David W. Messinger
Orcid: 0000-0002-2273-9194
According to our database1,
David W. Messinger
authored at least 31 papers
between 2006 and 2022.
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Bibliography
2022
An Unsupervised Laplacian Pyramid Network for Radiometrically Accurate Data Fusion of Hyperspectral and Multispectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
An Unsupervised Cascade Fusion Network for Radiometrically-Accurate Vis-NIR-SWIR Hyperspectral Sharpening.
Remote. Sens., 2022
Proceedings of the Colour and Visual Computing Symposium 2022, 2022
2021
Sensors, 2021
Int. J. Document Anal. Recognit., 2021
Hyperspectral Pigment Analysis of Cultural Heritage Artifacts Using the Opaque Form of Kubelka-Munk Theory.
CoRR, 2021
2020
Deep Learning Spatial-Spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2018
IEEE Trans. Image Process., 2018
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
2017
Spectral-Density-Based Graph Construction Techniques for Hyperspectral Image Analysis.
IEEE Trans. Geosci. Remote. Sens., 2017
Global and adaptive K-nearest neighbor graphs in a spectral target detector based on Schroedinger Eigenmaps.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Methods of data augmentation for palimpsest character recognition with Deep Neural Network.
Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017
Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation.
Proceedings of the Computational Imaging XV, Burlingame, 2017
2015
Proceedings of the Image Processing: Machine Vision Applications VIII, 2015
Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015
2014
Manifold representations of single and multiple material classes in high resolution HSI.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Effects of cubesat design parameters on image quality and feature extraction for 3D reconstruction.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Analysis and utility of atmospheric compensation of simulated compressive sensing (CS) measurements.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Assessing the impact of the edge-weighting function in a graph-based approach to anomaly detection.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
2012
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Comparison of hyperion spectral unmixing endmembers to material spectral profiles from Oaxaca, Mexico.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Improved detection and clustering of hyperspectral image data by preprocessing with a euclidean distance transformation.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
A detection-identification process with geometric target detection and subpixel spectral visualization.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
An intensity-gradient-texture guided methodology for spatial segmentation of remotely sensed multi/hyperspectral imagery.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
2006
Improving Background Multivariate Normality and Target Detection Performance using Spatial and Spectral Segmentation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006